A Car-following Model for Mixed Traffic Flow Consisting of Human-driven Vehicles and Connected Vehicles

This study proposes a novel car-following (CF) model in mixed traffic environment. The mixed traffic flow in this study incorporate with human-driven vehicles (HDVs) and connected vehicles(CVs). Then these differences of the delay of perception and sensitivity coefficient of velocity difference between HDVs and CVs are considered to set up the model. Then the perturbation method is used to testify the reliability of the proposed CF model. In addition, a sequence of numerical experiments also carried out. By analyzing the influence of the adoption degree of V2V information and the occupancy rate of CVs on the stability, the results show the availability of the suggested CF model.